JP7162700B1 - Information processing device, information processing method, and information processing program - Google Patents

Abstract

An information processing device, an information processing method, and an information processing program are provided that allow a user to easily grasp the features of a target user image. Kind Code: A1 In an information processing system in which a terminal device and an information processing device are connected to a network by wire or wirelessly, an information processing device 100 includes a plurality of attributes corresponding to a first target user image and a first target user image. 2, the non-common attributes are reflected based on the non-common attributes other than the common attributes specified by the specifying unit 131, Generation unit 132 for generating image information corresponding to the first target user image and image information corresponding to the second target user image reflecting non-common attributes, and target information including each image information generated by the generation unit to the user. [Selection drawing] Fig. 4

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

Conventionally, businesses that provide products or services to customers or distribute advertising content generally narrow down target users. In relation to this, for example, a technology has been proposed that supports the creation of personas, which are the most important and symbolic customer models for products or services to be developed.

Japanese Patent Application Laid-Open No. 2011-100380

However, the conventional technology has room for improvement in terms of easily grasping the features of the image of the target user.

The present application has been made in view of the above, and an object thereof is to provide an information processing apparatus, an information processing method, and an information processing program that can easily grasp the characteristics of a target user image.

An information processing apparatus according to the present application includes a specifying unit, a generating unit, and a providing unit. The specifying unit specifies a common attribute common between a plurality of attributes corresponding to the first target user image and a plurality of attributes corresponding to the second target user image. Based on the non-common attributes other than the common attributes specified by the specifying unit, the generation unit generates image information corresponding to the first target user image on which the non-common attributes are reflected, and second image information on which the non-common attributes are reflected. image information corresponding to the image of the target user. The providing unit provides the user with target information including each piece of image information generated by the generating unit.

According to one aspect of the embodiment, it is possible to easily comprehend the features of the image of the target user.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a diagram illustrating a display example (part 1) of target information according to the embodiment. FIG. 3 is a diagram illustrating a display example (part 2) of target information according to the embodiment. FIG. 4 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; FIG. 5 is a diagram showing an overview of target information according to the embodiment. 6 is a flowchart illustrating an example of a processing procedure performed by the information processing apparatus according to the embodiment; FIG. FIG. 7 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus according to the embodiment.

Hereinafter, modes for implementing an information processing apparatus, an information processing method, and an information processing program (hereinafter referred to as "embodiments") according to the present application will be described in detail with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited to the embodiments described below. Further, the embodiments described below can be appropriately combined within a range that does not contradict the processing contents. Also, in the embodiments described below, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[1. Overview of information processing]
Hereinafter, an example of information processing realized by the information processing apparatus according to the embodiment will be described with reference to the drawings. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment.

As shown in FIG. 1 , an information processing system 1 according to the embodiment has a terminal device 10 and an information processing device 100 . In addition, the information processing system 1 is not limited to the example shown in FIG. Further, the information processing device 100 is not limited to the example described below, and can execute the information processing described below in parallel for any number of terminal devices 10 .

The terminal device 10 and the information processing device 100 are each connected to a network N (see FIG. 4) by wire or wirelessly. The network N is a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (mobile telephone network, fixed telephone network, etc.), a local IP (Internet Protocol) network, or the Internet. . The network N may include a wired network or a wireless network. The terminal device 10 and the information processing device 100 can communicate with each other through the network N. FIG.

The terminal device 10 is an information processing device used by the service user U to use the service provided by the information processing device 100 . The terminal device 10 is implemented by a smart phone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like.

The terminal device 10 can display information for using various services provided by the information processing device 100 using a web browser or an application. When the terminal device 10 receives control information for implementing information display processing from the information processing device 100 or the like, the terminal device 10 implements the display processing according to the control information.

The information processing device 100 is an information processing device that executes information processing according to the embodiment. The information processing device 100 is implemented by a server device, a cloud system, or the like. The information processing device 100 may function as a distribution device that distributes control information to the terminal device 10 used by the service user U. Here, the control information is described, for example, in a script language such as JavaScript (registered trademark) or a style sheet language such as CSS (Cascading Style Sheets). Note that the application itself distributed from the information processing apparatus 100 may be regarded as control information.

For example, the information processing device 100 can provide service users U with various services on the Internet. The services provided by the information processing device 100 include a search engine site, a news site, a technical explanation site, a shopping site, a finance site (stock price site), a route search site, a map providing site, a travel site, and so on. , restaurant introduction sites, various services provided through web pages related to web blogs, etc. are included. The information processing device 100 also includes various applications installed in the terminal device 10 (for example, a portal application, a news application, an auction application, a weather forecast application, a shopping application, a finance (stock price) application, a route search application, a map providing application, It can provide information to be displayed in travel apps, restaurant introduction apps, blog browsing apps, etc.).

In addition, the information processing apparatus 100 can acquire information on search words input by the service user U through the provision of the various services described above. In addition, the information processing apparatus 100 can store the acquired search word information as a search history (search log). Note that the information processing apparatus 100 can be used for user attributes (for example, demographic attributes such as age, gender, region, etc., usage history of online contents of various services, etc.) based on the operation, browsing, etc. of the service user U in various services. psychographic attributes estimated based on the information) and the action history of the service user U in various services can be collected and stored in association with the user ID.

As one of the services provided, the information processing apparatus 100 can provide the service user U with a desk research tool for use in marketing activities. The desk research tool provided by the information processing apparatus 100 acquires information on candidate users who can be target users according to, for example, narrowing down conditions arbitrarily set by the service user U, and provides the service user U with the information. By referring to the information provided by the desk research tool, the service user U can infer the interests of the candidate users who have the desired attributes, and use them to select target users.

For example, the information processing apparatus 100 displays an image clearly showing different characteristics between the target user images for each target user image (persona) showing a typical user image that matches the condition setting specified by the service user U. Provide the service user U with targeted information that includes information (eg, a thumbnail).

Specifically, as shown in FIG. 1, when the information processing device 100 receives a target information display request from the terminal device 10, the information processing device 100 displays a plurality of attributes corresponding to the first target user image and the second target user image. A common attribute common to a plurality of attributes corresponding to is specified (step S1).

In addition, based on the specified non-common attributes other than the common attributes, the information processing apparatus 100 creates a thumbnail representing the first target user image reflecting the non-common attributes and a second target user image reflecting the non-common attributes. A thumbnail representing the user image is generated (step S2).

The information processing device 100 also provides target information including each generated thumbnail to the service user U (step S3).

(1-1. Target information display example (Part 1))
A display example of target information according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a display example (part 1) of target information according to the embodiment.

FIG. 2 shows target information automatically generated by the information processing apparatus 100 in accordance with the condition settings designated by the service user U for each project. The upper part of FIG. 2 shows, for example, target information corresponding to project EX-1 for developing products for men in their thirties. In addition, the lower part of FIG. 2 shows target information corresponding to project EX-2 of product development for women in their 30s, for example.

In the example shown in FIG. 2, the target information corresponding to the project EX-1 consists of information regarding the target user image Xa and information regarding the target user image Xb. Further, in the example shown in FIG. 2, the content of the keyword, which is one of the setting items of the condition setting, differs between the target user image Xa and the target user image Xb. For example, the target user image Xa represents a fictional user image summarizing attributes of a plurality of users associated with the keyword "unmarried". Also, for example, the target user image Xb represents a fictional user image summarizing attributes of a plurality of users associated with the keyword "married".

The information about the target user image Xa shown in FIG. 2 includes a thumbnail G_Xa, which is image information automatically generated by the information processing apparatus 100 . The thumbnail G_Xa includes a user image PXa representing the appearance and appearance of the target user image Xa, an item image OBXa-1 representing non-common attributes, and an item image OBXa-2 representing non-common attributes. It is assumed that the item image OBXa-1 represents "fishing", which is one of the attributes corresponding to the target user image Xa. It is also assumed that the item image OBXa-2 represents "drinking", which is one of the attributes corresponding to the target user image Xa.

Note that the user image PXa indicating the appearance and appearance of the target user image Xa may be composed of a photographed human image, or may be composed of a virtual image such as an illustration or an avatar. The item image OBXa-1 and the item image OBXa-2 may be composed of actual images, or may be composed of virtual images such as illustrations and icons.

The information on the target user image Xb shown in FIG. 2 includes a thumbnail G_Xb, which is image information automatically generated by the information processing apparatus 100 . The thumbnail G_Xb includes a user image PXb representing the appearance and appearance of the target user image Xb, an item image OBXb-1 representing non-common attributes, and an item image OBXb-2 representing non-common attributes. It is assumed that the item image OBXb-1 represents "bicycle" which is one of the attributes corresponding to the target user image Xb. It is also assumed that the item image OBXb-2 represents "vegetables" which is one of the attributes corresponding to the target user image Xb.

According to the target information shown in FIG. 2, out of the plurality of attributes corresponding to the target user image Xa, non-common attributes that are not common to the attributes corresponding to the target user image Xb, for example, "fishing" and "drinking" are specified. there is Further, according to the target information shown in FIG. 2, among the plurality of attributes corresponding to the target user image Xb, non-common attributes that are not common to the target user image Xa, for example, "bicycle" and "vegetables" are specified. .

In this way, the information processing apparatus 100 allows the service user U to intuitively recognize characteristic attributes of each target user image that are not common to other target user images, based on the image information provided to the service user U. It is possible to easily grasp the characteristics of each target user image. For example, the service user U can grasp, at a glance, the unique characteristics of each of a plurality of target user images set as targets in a common project.

In the example shown in FIG. 2, the target information corresponding to the project EX-2 is composed of information regarding the target user image Ya and information regarding the target user image Yb. In addition, in the example shown in FIG. 2, the target user image Ya and the target user image Yb differ in the content of the keyword, which is one of the setting items of the condition setting. For example, the target user image Ya represents a fictional user image summarizing the attributes of a plurality of users associated with the keyword "unmarried". Also, for example, the target user image Yb represents a fictional user image summarizing attributes of a plurality of users associated with the keyword "married".

The information about the target user image Ya illustrated in FIG. 2 includes a thumbnail G_Ya, which is image information automatically generated by the information processing apparatus 100 . The thumbnail G_Ya includes a user image PYa representing the target user image Ya, an item image OBYa-1 representing a non-common attribute, and an item image OBYa-2 representing a non-common attribute. It is assumed that the item image OBYa-1 represents "climbing", which is one of the attributes corresponding to the target user image Ya. Also, it is assumed that the item image OBYa-2 represents "confectionery", which is one of the attributes corresponding to the target user image Ya.

The information about the target user image Yb shown in FIG. 2 includes a thumbnail G_Yb, which is image information automatically generated by the information processing apparatus 100 . The thumbnail G_Yb includes a user image PYb representing the target user image Yb, an item image OBYb-1 representing a non-common attribute, and an item image OBYb-2 representing a non-common attribute. It is assumed that the item image OBYb-1 represents "English", which is one of the attributes corresponding to the target user image Yb. It is also assumed that the item image OBYb-2 represents "household appliance", which is one of the attributes corresponding to the target user image Yb.

According to the target information shown in FIG. 2, among the plurality of attributes corresponding to the target user image Ya, as non-common attributes that are not common to the attributes corresponding to the target user image Yb, for example, "climbing" and "confectionery" are specified. ing. Further, according to the target information shown in FIG. 2, among the plurality of attributes corresponding to the target user image Yb, non-common attributes that are not common to the attributes corresponding to the target user image Ya include, for example, "English" and "household appliances." It is made explicit.

In this way, in the example shown in the lower part of FIG. 2 as well, the information processing apparatus 100 uses the image information provided to the service user U to identify other targets for each target user image, similarly to the example shown in the upper part of FIG. The service user U can intuitively recognize characteristic attributes that are not common to the attributes corresponding to the user images, and can easily grasp the characteristics of each target user image. For example, the service user U can grasp, at a glance, the unique characteristics of each of a plurality of target user images set as targets in a common project.

(1-2. Target information display example (Part 2))
In addition, the information processing apparatus 100, among the plurality of attributes corresponding to each target user image, even if it is an attribute common to the attributes corresponding to other target user images, the attribute with a high feature degree in the target user image , may be included in the thumbnail and displayed. Another display example different from the above-described display example shown in FIG. 2 will be described below with reference to FIG. FIG. 3 is a diagram illustrating a display example (part 2) of target information according to the embodiment.

The thumbnail G_Xa shown in FIG. 3 differs from the example shown in FIG. 2 in that it includes an item image OBXa-11 indicating common attributes. The item image OBXa-11 shown in FIG. 3 includes "house", which is an attribute common to the attribute corresponding to the target user image Xb among the attributes corresponding to the target user image Xa and has a high characteristic degree. shall be represented. Further, as in the example shown in FIG. 2, the thumbnail G_Xa shown in FIG. 3 is an item image OBXa- showing "fishing", which is one of the attributes corresponding to the target user image Xa, as an item image showing a non-common attribute. contains 12.

Also, the thumbnail G_Xb shown in FIG. 3 is different from the example shown in FIG. 2 in that it includes an item image OBXb-11 indicating a common attribute. The item image OBXb-11 shown in FIG. 3 includes "house", which is an attribute common to the attribute corresponding to the target user image Xa among the attributes corresponding to the target user image Xb and has a high characteristic degree. shall be represented. Further, as in the example shown in FIG. 2, thumbnail G_Xb shown in FIG. contains 12.

As described above, according to the target information shown in FIG. 3, among the plurality of attributes corresponding to the target user image Xa, as an attribute that is not common to the attribute corresponding to the target user image Xb, for example, "fishing" is not simply specified. Instead, for example, "house" is specified as an attribute common to the attribute corresponding to the target user image Xb. Further, according to the target information shown in FIG. 2, among the plurality of attributes corresponding to the target user image Xb, as an attribute that is not common to the attribute corresponding to the target user image Xa, for example, not only "bicycle" but also , and the attribute corresponding to the target user image Xa, for example, "house" is specified. In this way, for each target user image, the information processing apparatus 100 uses service user U as a feature of the target user image for a more characteristic attribute among attributes common to attributes corresponding to other target user images. can be grasped.

2 or 3 shows an example in which each thumbnail includes an image representing a user image and an illustration image representing a non-common attribute or common attribute. The device 100 may automatically generate an image showing a user image reflecting non-common attributes or common attributes. Taking the information about the target user image Xa shown in FIG. 2 as an example, the information processing apparatus 100 may generate a thumbnail including a user image showing a state of drinking while fishing. Accordingly, the information processing apparatus 100 can accurately recognize the characteristics of each target user image.

2 or 3 shows an example in which each thumbnail includes an image representing a user image, but the thumbnail does not include an image representing a user image, and includes an illustration image representing a non-common attribute or a common attribute. may

[2. Configuration of information processing device]
The configuration of the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 4 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment;

As shown in FIG. 4, the information processing apparatus 100 includes a communication section 110, a storage section 120, and a control section . Note that FIG. 4 shows a configuration example of the information processing apparatus 100, and is not limited to the form shown in FIG.

(Communication unit 110)
The communication unit 110 is connected to the network N by wire or wirelessly, for example, and transmits and receives information to and from another device such as the terminal device 10 via the network N. The communication unit 110 is implemented by, for example, a NIC (Network Interface Card), an antenna, or the like. The network N is a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (mobile telephone network, fixed telephone network, etc.), a regional IP (Internet Protocol) network, or the Internet. . The network N may include wired networks or wireless networks.

The communication unit 110 receives a target information display request from the terminal device 10, for example. In addition, the communication unit 110 transmits target information including image information (for example, thumbnails) clearly showing different characteristics between target user images to the terminal device 10, for example.

(storage unit 120)
The storage unit 120 is realized by, for example, a RAM (Random Access Memory), a semiconductor memory device such as a flash memory, or a storage device such as a hard disk or an optical disk. Storage unit 120 stores programs and data for realizing information processing executed by each unit of control unit 130 .

As shown in FIG. 4, the storage unit 120 has a user information storage unit 121, a target information storage unit 122, an image material information storage unit 123, and the like.

(User information storage unit 121)
The user information storage unit 121 stores user information such as search histories and action histories of service users in association with identification information (for example, user IDs) for specifying service users who use various services on the Internet. do. The user information stored in the user information storage unit 121 is, for example, search word information entered by the service user through the provision of the various services described above, and based on the operation and browsing of the service user in the various services described above. User attributes (for example, demographic attributes such as age, gender, and region, and psychographic attributes such as beliefs, values, habits, and preferences estimated based on usage history of online content of various services), It includes the action history of the service user U in various services (for example, purchased goods and services).

(Target information storage unit 122)
The target information storage unit 122 stores target information related to target user images showing typical user images that match the condition settings specified by the service user. FIG. 5 is a diagram showing an overview of target information according to the embodiment.

As shown in FIG. 5, the target information stored in the target information storage unit 122 includes items such as "project ID", "target ID", "common attribute category", and "non-common attribute category". and these items are related to each other.

The item "project ID" stores identification information for identifying a project arbitrarily set by the service user. The “target ID” item stores identification information that is individually given to identify the target information when the target information is generated.

The “common attribute category” item stores category information indicating common attributes common to other target user images among attributes corresponding to a plurality of target user images linked to a project. For example, in the item of "common attribute category", among common attributes, information of attributes whose characteristic degree in the image of the target user is equal to or higher than a predetermined threshold is stored.

The item "non-common attribute category" stores category information indicating non-common attributes that are not common to other target user images among attributes corresponding to a plurality of target user images linked to a project. In addition, in the item of "common attribute category", among the non-common attributes, information of attributes whose characteristic degree in the image of the target user is equal to or higher than a predetermined threshold may be stored.

(Image material information storage unit 123)
The image material information storage unit 123 stores image material information that is referred to when generating thumbnails constituting target information.

(control unit 130)
The control unit 130 is a controller that controls the information processing device 100 . The control unit 130 executes various programs (for example, an information processing program) stored in a storage device inside the information processing apparatus 100 by using a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like, using the RAM as a work area. It is realized by being Also, the control unit 130 may be implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 4 , the control unit 130 has a specifying unit 131 , a generating unit 132 and a providing unit 133 . Control unit 130 implements or executes the functions and actions of information processing described below by means of these units. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 4, and may be another configuration as long as it performs information processing to be described later. Moreover, the connection relationship of each part of the control unit 130 is not limited to the connection relationship shown in FIG. 4, and may be another connection relationship.

(Specifying unit 131)
Upon receiving the target information display request transmitted from the terminal device 10 through the communication unit 110, the specifying unit 131 selects a plurality of attributes corresponding to the first target user image and a plurality of attributes corresponding to the second target user image. Identify common attributes that are common between attributes.

For example, from the user information stored in the user information storage unit 121, the identification unit 131 aggregates data samples that match the condition settings specified by the service user. For example, the condition setting is acquired along with the target information display request.

When acquiring a plurality of condition settings, the specifying unit 131 aggregates data samples for each condition setting. Further, the identifying unit 131 collects, from the aggregated data samples, attributes associated with a plurality of users who match the condition setting, thereby obtaining a typical user image summarizing the features of the users who match the condition setting. Derived as a target user image. Attributes corresponding to the image of the target user include information on search words used by multiple users who match the set conditions, information on products and services purchased, age, gender, family structure, annual income, region, etc. information such as beliefs, values, habits, preferences, etc. Further, the specifying unit 131 specifies a common attribute common among attributes based on the attribute corresponding to each target user image.

Further, the identifying unit 131 identifies non-common attributes other than the common attributes among the attributes corresponding to the derived target user image. Then, the identifying unit 131 individually assigns a target ID for each target user image, and stores the common attribute information and the non-common attribute information in the target information storage unit 122 in association with the assigned target ID.

Further, the specifying unit 131 may calculate the feature degree in the target user image for each specified common attribute. For example, if the common attribute is information based on a search word, for that search word, the number of searches in the user group including each user associated with the target user image, and the number of searches by each user associated with the target user image can be calculated using a lift value based on Note that the characteristic degree may be a value calculated by any method as long as the characteristic degree of the attribute in the image of the target user can be evaluated. Then, the specifying unit 131 may store common attributes having a characteristic degree equal to or higher than a predetermined threshold in the target information storage unit 122 among the common attributes.

Further, the specifying unit 131 may calculate the feature degree in the target user image for each specified non-common attribute. Then, the specifying unit 131 may store in the target information storage unit 122 non-common attributes whose feature degree is equal to or higher than a predetermined threshold among the common attributes.

(Generating unit 132)
Based on the non-common attributes other than the common attributes specified by the specifying unit 131, the generation unit 132 reflects the image information corresponding to the first target user image to which the non-common attributes are reflected, and the non-common attributes. Image information corresponding to the second image of the target user is generated.

For example, the generation unit 132 refers to the image material information stored in the image material information storage unit 123 and acquires the image material representing the first target user image. The generation unit 132 also refers to the image material information and acquires an image material indicating a non-common attribute. Then, the generation unit 132 generates image information corresponding to the first target user image based on the image material representing the first target user image and the image material representing the non-common attribute. Similarly, the generator 132 generates image information corresponding to the second target user image.

In addition, the generation unit 132 may generate image information based on common attributes whose characteristic degree is equal to or higher than a predetermined threshold value and non-common attributes whose characteristic degree is equal to or higher than a predetermined threshold value. can.

For example, the generation unit 132 refers to the image material information stored in the image material information storage unit 123 and acquires the image material representing the first target user image. In addition, the generation unit 132 refers to the image material information and acquires image materials indicating common attributes and image materials indicating non-common attributes. Then, the generation unit 132 generates image information corresponding to the first target user image based on the image material indicating the first target user image, the image material indicating the common attribute, and the image material indicating the non-common attribute. to generate Similarly, the generator 132 generates image information corresponding to the second target user image.

(Providing unit 133)
The providing unit 133 provides the service user U with target information including each image information generated by the generating unit 132 . For example, the providing unit 133 provides the service user U with target information including image information (thumbnail) generated by the generating unit 132 by transmitting the target information to the terminal device 10 through the communication unit 110 .

[3. Processing procedure]
A processing procedure performed by the information processing apparatus 100 according to the embodiment will be described below with reference to FIG. 6 . 6 is a flowchart illustrating an example of a processing procedure performed by the information processing apparatus according to the embodiment; FIG. The processing procedure shown in FIG. 6 is executed by the control unit 130 of the information processing apparatus 100 . The processing procedure shown in FIG. 6 is repeatedly executed while the information processing apparatus 100 is in operation.

As shown in FIG. 6, the identifying unit 131 identifies a common attribute common among attributes corresponding to each target user image (step S101).

The generation unit 132 also generates image information corresponding to each target user image reflecting non-common attributes other than the common attributes (step S102).

Further, the providing unit 133 provides target information including each image information to the service user (step S103).

[4. Hardware configuration]
The information processing apparatus 100 according to the embodiment is implemented by a computer 1000 configured as shown in FIG. 7, for example. FIG. 7 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus according to the embodiment.

Computer 1000 has CPU 1100 , RAM 1200 , ROM 1300 , HDD 1400 , communication interface (I/F) 1500 , input/output interface (I/F) 1600 and media interface (I/F) 1700 .

The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400 and controls each section. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started, a program depending on the hardware of the computer 1000, and the like.

HDD 1400 stores programs executed by CPU 1100 and data used by these programs. Communication interface 1500 receives data from other devices via network (communication network) N, sends the data to CPU 1100, and transmits data generated by CPU 1100 to other devices via network (communication network) N.

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, via an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . CPU 1100 also outputs the generated data to an output device via input/output interface 1600 .

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200 . CPU 1100 loads such a program from recording medium 1800 onto RAM 1200 via media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. and so on.

For example, when the computer 1000 functions as the information processing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the functions of the control unit 130 by executing programs loaded on the RAM 1200 . In addition, data in storage unit 120 is stored in HDD 1400 . CPU 1100 of computer 1000 reads these programs from recording medium 1800 and executes them, but as another example, these programs may be obtained from another device via network (communication network) N.

[5. others]
Of the processes described in the above-described embodiments and modifications, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed manually. All or part of the processing can also be done automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified.

In the above-described embodiments and modifications, each unit (the identifying unit 131, the generating unit 132, and the providing unit 133) may be implemented as an add-on to a provided program pre-installed in the information processing apparatus 100, or may be flexibly implemented as a dedicated provided program using a lightweight programming language or the like. It may be realized by describing.

Further, in the above-described embodiment and modification, the information processing apparatus 100 includes a device that provides various services to service users and a service user that visualizes the degree of interest in each region along the time axis. It may be configured to be physically distributed to the device that provides the information providing service.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured. For example, the identification unit 131 and the generation unit 132 of the control unit 130 may be functionally integrated.

Further, the above-described embodiment and modifications can be appropriately combined within a range that does not contradict the processing content.

[6. effect]
The information processing apparatus 100 according to the above-described embodiment has a specifying unit 131 , a generating unit 132 and a providing unit 133 . The identifying unit 131 identifies common attributes that are common between a plurality of attributes corresponding to the first target user image and a plurality of attributes corresponding to the second target user image. Based on the non-common attributes other than the common attributes specified by the specifying unit 131, the generation unit 132 reflects the image information corresponding to the first target user image to which the non-common attributes are reflected, and the non-common attributes. Image information corresponding to the second image of the target user is generated. The providing unit 133 provides target information including each image information generated by the generating unit 132 to the user.

In this way, the information processing apparatus 100 according to the embodiment uses the image information (for example, thumbnail) provided to the service user to provide each target user image with a characteristic image that is not common to attributes corresponding to other target users. The service user can intuitively recognize such attributes, and can easily grasp the characteristics of each target user image. For example, service users can grasp at a glance the unique characteristics of each of multiple target user images set as targets in a common project.

In addition, in the information processing apparatus 100 according to the embodiment, the generation unit 132 generates image information including item images indicating non-common attributes. Thereby, the information processing apparatus 100 can easily associate the characteristics of each target user image.

In addition, in the information processing apparatus 100 according to the embodiment, the generating unit 132 generates image information including a person image reflecting non-common attributes. Accordingly, the information processing apparatus 100 can accurately recognize the characteristics of each target user image.

Further, in the information processing apparatus 100 according to the embodiment, the generation unit 132 divides common attributes into attributes having a feature level equal to or higher than a predetermined threshold and non-common attributes having a feature level equal to or higher than a predetermined threshold. Based on this, image information is generated. As a result, the information processing apparatus 100 can allow the service user to grasp the more characteristic attributes among the attributes common to the other target user images for each target user image as features of the target user image. .

As described above, the embodiments of the present application have been described in detail based on several drawings, but these are examples, and various modifications and It is possible to carry out the invention in other forms with modifications.

Also, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the control unit can be read as control means or a control circuit.

10 terminal device 100 information processing device 110 communication unit 120 storage unit 121 user information storage unit 122 target information storage unit 123 image material information storage unit 130 control unit 131 identification unit 132 generation unit 133 provision unit

Claims (6)

A plurality of attributes corresponding to a first target user image , which is a fictional user image summarizing features of a plurality of data samples that match a first condition setting specified by the user ; Common attributes common to multiple attributes corresponding to the second target user image , which is a fictional user image summarizing the characteristics of multiple data samples that match the condition setting of , and non-common attributes other than the common attributes an identification part that identifies the
Based on the non-common attribute specified by the specifying unit, image information corresponding to the first target user image reflecting the non-common attribute, and the second target reflecting the non-common attribute a generator that generates image information corresponding to a user image;
and a providing unit that provides target information including each image information generated by the generating unit to the user. The generating unit
The information processing apparatus according to claim 1, wherein said image information including an item image indicating said non-common attribute is generated. The generating unit
2. The information processing apparatus according to claim 1, wherein said image information including a person image reflecting said non-common attribute is generated. The generating unit
The image information is generated based on an attribute of the common attributes whose characteristic degree is equal to or higher than a predetermined threshold and an attribute of the non-common attribute whose characteristic degree is equal to or higher than the predetermined threshold. Item 1. The information processing apparatus according to item 1. A computer-executed information processing method comprising:
A plurality of attributes corresponding to a first target user image , which is a fictional user image summarizing features of a plurality of data samples that match a first condition setting specified by the user ; Common attributes common to multiple attributes corresponding to the second target user image , which is a fictional user image summarizing the characteristics of multiple data samples that match the condition setting of , and non-common attributes other than the common attributes an identifying step of identifying
Based on the non-common attribute specified by the specifying step, image information corresponding to the first target user image reflecting the non-common attribute, and the second target reflecting the non-common attribute a generation step of generating image information corresponding to the user image;
and a provision step of providing target information including each image information generated by the generation step to the user. to the computer,
A plurality of attributes corresponding to a first target user image , which is a fictional user image summarizing features of a plurality of data samples that match a first condition setting specified by the user ; Common attributes common to multiple attributes corresponding to the second target user image , which is a fictional user image summarizing the characteristics of multiple data samples that match the condition setting of , and non-common attributes other than the common attributes a specific procedure for identifying
Based on the non-common attribute specified by the specifying procedure, image information corresponding to the first target user image reflecting the non-common attribute, and the second target reflecting the non-common attribute a generation procedure for generating image information corresponding to a user image;
and a providing procedure for providing target information including each image information generated by the generating procedure to the user.

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